Bin Lan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in ⓘ
-
- Robotic Path Planning Algorithms 3
- Co-authors
- Christian Pilarsky (5 shared papers)Robert Grützmann (5 shared papers)Siyuan Zeng (4 shared papers)Hai Yang (2 shared papers)Marina Pöttler (1 shared paper)Xueqian Wang (7 shared papers)Zihong Lu (2 shared papers)Hongbing Lu (5 shared papers)
- Journals
- Frontiers in bioscience (2 papers)Japanese Journal of Applied Physics (2 papers)International Journal of Molecular Sciences (2 papers)Medical Physics (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bin Lan
34 papers receiving 996 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 240
- Oncology 336
- Molecular Biology 438
- Computer Vision and Pattern Recognition 97
- Immunology 100
Countries citing papers authored by Bin Lan
This map shows the geographic impact of Bin Lan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lan more than expected).
Fields of papers citing papers by Bin Lan
This network shows the impact of papers produced by Bin Lan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Lan. The network helps show where Bin Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chemoresistance in Pancreatic Cancer Hit paper breakdown → | 2019 | 452 |
| 2 | 2015 | 82 | |
| 3 | 2019 | 74 | |
| 4 | 2018 | 69 | |
| 5 | 2023 | 61 | |
| 6 | 2022 | 47 | |
| 7 | 2019 | 37 | |
| 8 | 2016 | 28 | |
| 9 | 2017 | 24 | |
| 10 | 2004 | 17 | |
| 11 | 2022 | 12 | |
| 12 | 2006 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2003 | 6 |
About Bin Lan
Bin Lan is a scholar working on Computer Vision and Pattern Recognition, Cancer Research, Hepatology, Oncology and Biomedical Engineering, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers), Luminescence Properties of Advanced Materials (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Nanoplatforms for cancer theranostics (2 papers), Robotic Mechanisms and Dynamics (2 papers), Vitamin D Research Studies (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Cancer Research (240 citations), Oncology (336 citations), Molecular Biology (438 citations), Computer Vision and Pattern Recognition (97 citations) and Immunology (100 citations). Bin Lan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Christian Pilarsky, Robert Grützmann, Siyuan Zeng, Hai Yang, Marina Pöttler, Xueqian Wang, Zihong Lu, Hongbing Lu, Wenli Zhang and Peng Gao. Their work appears in journals such as Frontiers in bioscience, Japanese Journal of Applied Physics, International Journal of Molecular Sciences, Medical Physics and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.